Software Engineering Manager, Robotics Neural Reconstruction And Real2Sim Applications
at Nvidia
USD 224,000-431,200 per year
Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Python @ 6
Algorithms @ 3
Machine Learning @ 5
TensorFlow @ 3
Hiring @ 3
Leadership @ 5
Team Management @ 5
Communication @ 3
Technical Leadership @ 5
PyTorch @ 3
GPU @ 3
Deep Learning @ 6
AI @ 3
Reinforcement Learning @ 2
Robotics @ 3
JAX @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA is hiring an Engineering Manager to lead the Robotics Neural Reconstruction & Real2Sim Applications team within the Isaac Engineering organization. The team focuses on advancing real2Sim technologies, 3D reconstruction, digital twin creation, and robot simulation & validation tools to enable physical AI at scale.
Responsibilities
- Lead, mentor, and grow a high-performing team of robotics software and applied research engineers focused on Neural Reconstruction & Real2Sim Applications.
- Drive definition, planning, and execution of projects involving 3D reconstruction, digital twin creation, and robot simulation & validation tools.
- Guide the team in advancing Real2Sim and its integration into robot learning developments.
- Hands-on design, implementation, and deployment of novel algorithms for Neural Reconstruction, Real2Sim and their real-world applications & validation.
- Collaborate with other Isaac teams (Sim/Lab, Platform, SQA) to deploy, validate, extend, and release capabilities on physical robots and at-scale simulations.
- Ensure effective integration, validation, and releases of applied research efforts in collaboration with research teams and NVIDIA robotics platforms.
- Foster a culture of innovation and collaboration; support prototypes, open source contributions, patents, and publications.
- Collaborate cross-functionally with product, hardware, and software teams to translate engineering work into impactful products.
Requirements
- PhD or Master's degree in Computer Science, Robotics, or a related field (or equivalent experience).
- 8+ years overall experience working on robotics and deep learning technologies.
- 3+ years of technical leadership or team management experience in robotics, autonomous driving, machine learning, or related domains.
- Strong hands-on programming skills in Python and/or C++.
- Experience with deep learning frameworks such as PyTorch, JAX, and TensorFlow.
- Experience with physics and robot simulation tools (Isaac Sim/Lab, MuJoCo).
- Familiarity with robot learning (including imitation or reinforcement learning) and robot perception.
- Experience with robot simulation tools and on-robot deployments.
- Excellent communication, organizational, and interpersonal skills.
Ways to Stand Out
- Leadership in projects involving Neural Reconstruction and/or generative simulations.
- Experience with large-scale model training on GPU clusters.
- Hands-on experience in robotics simulation, sim-to-real and real-to-sim transfer.
Compensation & Benefits
- Base salary ranges provided by location and level:
- Level 3: 224,000 USD - 356,500 USD
- Level 4: 272,000 USD - 431,250 USD
- Eligible for equity and benefits (link to NVIDIA benefits included in original posting).
Other Details
- Applications accepted at least until June 7, 2026. This posting is for an existing vacancy.
- NVIDIA uses AI tools in recruiting processes and is an equal opportunity employer.